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针对一类非高斯噪声——双模噪声信号进行消噪时,传统小波变换和小波包变换在选取恰当阈值准则及阈值量化时存在困难,通过详细分析双模噪声信号结构及频率分布特征,在将小波包分解频带按照频率顺序排列且通过比较最底层子空间节点能量大小的基础上,提出一种将频带进行多分段的多阈值小波包消噪方法.实验结果表明:在双模噪声且信噪比相同情况下,该方法比传统的多尺度小波软阈值、小波包自适应阈值消噪效果都优越,是一种非常有效的信号消噪方法.
When a class of non-Gaussian noise-dual-mode noise signal is denoised, the traditional wavelet transform and wavelet packet transform have difficulties in selecting proper threshold criterion and threshold quantization. By analyzing the structure and frequency distribution characteristics of the dual-mode noise signal in detail, Based on the frequency order of the wavelet packet decomposition bands and comparing the energy of the nodes in the lowest subspace, a multi-threshold wavelet packet denoising method is proposed. The experimental results show that in the case of dual-mode noise Compared with the traditional multi-scale wavelet soft threshold and wavelet packet adaptive threshold denoising, the proposed method is a very effective signal denoising method under the same SNR.